Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 182 |
| Missing cells | 6 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 20.0 KiB |
| Average record size in memory | 112.7 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 3 |
country has a high cardinality: 182 distinct values | High cardinality |
rw_country_code has a high cardinality: 179 distinct values | High cardinality |
rw_country_name has a high cardinality: 179 distinct values | High cardinality |
cri_rank is highly overall correlated with cri_score and 8 other fields | High correlation |
cri_score is highly overall correlated with cri_rank and 8 other fields | High correlation |
fatalities_per_100k_rank is highly overall correlated with cri_rank and 8 other fields | High correlation |
fatalities_per_100k_total is highly overall correlated with cri_rank and 8 other fields | High correlation |
fatalities_rank is highly overall correlated with cri_rank and 8 other fields | High correlation |
fatalities_total is highly overall correlated with cri_rank and 8 other fields | High correlation |
losses_per_gdp__rank is highly overall correlated with cri_rank and 8 other fields | High correlation |
losses_per_gdp__total is highly overall correlated with cri_rank and 8 other fields | High correlation |
losses_usdm_ppp_rank is highly overall correlated with cri_rank and 8 other fields | High correlation |
losses_usdm_ppp_total is highly overall correlated with cri_rank and 8 other fields | High correlation |
rw_country_code has 3 (1.6%) missing values | Missing |
rw_country_name has 3 (1.6%) missing values | Missing |
cartodb_id is uniformly distributed | Uniform |
country is uniformly distributed | Uniform |
rw_country_code is uniformly distributed | Uniform |
rw_country_name is uniformly distributed | Uniform |
cartodb_id has unique values | Unique |
country has unique values | Unique |
fatalities_per_100k_total has 70 (38.5%) zeros | Zeros |
fatalities_total has 69 (37.9%) zeros | Zeros |
losses_per_gdp__total has 51 (28.0%) zeros | Zeros |
losses_usdm_ppp_total has 48 (26.4%) zeros | Zeros |
Reproduction
| Analysis started | 2023-02-10 12:31:45.173161 |
|---|---|
| Analysis finished | 2023-02-10 12:31:58.396549 |
| Duration | 13.22 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
cartodb_id
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 182 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.5 |
| Minimum | 1 |
|---|---|
| Maximum | 182 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 91.5 |
| Q3 | 136.75 |
| 95-th percentile | 172.95 |
| Maximum | 182 |
| Range | 181 |
| Interquartile range (IQR) | 90.5 |
Descriptive statistics
| Standard deviation | 52.683014 |
|---|---|
| Coefficient of variation (CV) | 0.57577065 |
| Kurtosis | -1.2 |
| Mean | 91.5 |
| Median Absolute Deviation (MAD) | 45.5 |
| Skewness | 0 |
| Sum | 16653 |
| Variance | 2775.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.5% |
| 115 | 1 | 0.5% |
| 117 | 1 | 0.5% |
| 118 | 1 | 0.5% |
| 119 | 1 | 0.5% |
| 120 | 1 | 0.5% |
| 121 | 1 | 0.5% |
| 122 | 1 | 0.5% |
| 123 | 1 | 0.5% |
| 124 | 1 | 0.5% |
| Other values (172) | 172 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 182 | 1 | |
| 181 | 1 | |
| 180 | 1 | |
| 179 | 1 | |
| 178 | 1 | |
| 177 | 1 | |
| 176 | 1 | |
| 175 | 1 | |
| 174 | 1 | |
| 173 | 1 |
country
Categorical
HIGH CARDINALITY UNIFORM UNIQUE
| Distinct | 182 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.5 KiB |
| Saudi Arabia | 1 |
|---|---|
| Papua New Guinea | 1 |
| Peru | 1 |
| Pakistan | 1 |
| Panama | 1 |
| Other values (177) |
Length
| Max length | 37 |
|---|---|
| Median length | 28 |
| Mean length | 9.2142857 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1677 |
|---|---|
| Distinct characters | 55 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 182 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Saudi Arabia |
|---|---|
| 2nd row | Romania |
| 3rd row | Spain |
| 4th row | Slovenia |
| 5th row | South Sudan |
Common Values
| Value | Count | Frequency (%) |
| Saudi Arabia | 1 | 0.5% |
| Papua New Guinea | 1 | 0.5% |
| Peru | 1 | 0.5% |
| Pakistan | 1 | 0.5% |
| Panama | 1 | 0.5% |
| Paraguay | 1 | 0.5% |
| Republic of Congo | 1 | 0.5% |
| Republic of Yemen | 1 | 0.5% |
| Senegal | 1 | 0.5% |
| Russia | 1 | 0.5% |
| Other values (172) | 172 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| republic | 13 | 5.3% |
| of | 7 | 2.8% |
| and | 5 | 2.0% |
| united | 3 | 1.2% |
| democratic | 3 | 1.2% |
| guinea | 2 | 0.8% |
| st | 2 | 0.8% |
| new | 2 | 0.8% |
| congo | 2 | 0.8% |
| islands | 2 | 0.8% |
| Other values (202) | 205 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 239 | 14.3% |
| i | 145 | 8.6% |
| e | 119 | 7.1% |
| n | 118 | 7.0% |
| o | 93 | 5.5% |
| r | 87 | 5.2% |
| u | 69 | 4.1% |
| l | 66 | 3.9% |
| 64 | 3.8% | |
| t | 58 | 3.5% |
| Other values (45) | 619 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1372 | |
| Uppercase Letter | 235 | 14.0% |
| Space Separator | 64 | 3.8% |
| Other Punctuation | 3 | 0.2% |
| Dash Punctuation | 2 | 0.1% |
| Final Punctuation | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 239 | |
| i | 145 | |
| e | 119 | 8.7% |
| n | 118 | 8.6% |
| o | 93 | 6.8% |
| r | 87 | 6.3% |
| u | 69 | 5.0% |
| l | 66 | 4.8% |
| t | 58 | 4.2% |
| s | 51 | 3.7% |
| Other values (16) | 327 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 25 | 10.6% |
| B | 19 | 8.1% |
| R | 18 | 7.7% |
| M | 17 | 7.2% |
| C | 17 | 7.2% |
| A | 14 | 6.0% |
| G | 13 | 5.5% |
| T | 13 | 5.5% |
| I | 12 | 5.1% |
| L | 12 | 5.1% |
| Other values (14) | 75 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 2 | |
| ' | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 64 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 2 |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1607 | |
| Common | 70 | 4.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 239 | |
| i | 145 | 9.0% |
| e | 119 | 7.4% |
| n | 118 | 7.3% |
| o | 93 | 5.8% |
| r | 87 | 5.4% |
| u | 69 | 4.3% |
| l | 66 | 4.1% |
| t | 58 | 3.6% |
| s | 51 | 3.2% |
| Other values (40) | 562 |
Common
| Value | Count | Frequency (%) |
| 64 | ||
| . | 2 | 2.9% |
| - | 2 | 2.9% |
| ’ | 1 | 1.4% |
| ' | 1 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1676 | |
| Punctuation | 1 | 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 239 | 14.3% |
| i | 145 | 8.7% |
| e | 119 | 7.1% |
| n | 118 | 7.0% |
| o | 93 | 5.5% |
| r | 87 | 5.2% |
| u | 69 | 4.1% |
| l | 66 | 3.9% |
| 64 | 3.8% | |
| t | 58 | 3.5% |
| Other values (44) | 618 |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 1 |
cri_rank
Real number (ℝ)
| Distinct | 122 |
|---|---|
| Distinct (%) | 67.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 85.230769 |
| Minimum | 1 |
|---|---|
| Maximum | 135 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 91 |
| Q3 | 135 |
| 95-th percentile | 135 |
| Maximum | 135 |
| Range | 134 |
| Interquartile range (IQR) | 88.75 |
Descriptive statistics
| Standard deviation | 44.708529 |
|---|---|
| Coefficient of variation (CV) | 0.52455855 |
| Kurtosis | -1.2929055 |
| Mean | 85.230769 |
| Median Absolute Deviation (MAD) | 44 |
| Skewness | -0.34713452 |
| Sum | 15512 |
| Variance | 1998.8525 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 135 | 48 | |
| 113 | 2 | 1.1% |
| 105 | 2 | 1.1% |
| 8 | 2 | 1.1% |
| 98 | 2 | 1.1% |
| 91 | 2 | 1.1% |
| 87 | 2 | 1.1% |
| 124 | 2 | 1.1% |
| 53 | 2 | 1.1% |
| 44 | 2 | 1.1% |
| Other values (112) | 116 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 10 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 135 | 48 | |
| 134 | 1 | 0.5% |
| 133 | 1 | 0.5% |
| 132 | 1 | 0.5% |
| 131 | 1 | 0.5% |
| 130 | 1 | 0.5% |
| 129 | 1 | 0.5% |
| 128 | 1 | 0.5% |
| 127 | 1 | 0.5% |
| 126 | 1 | 0.5% |
cri_score
Real number (ℝ)
| Distinct | 122 |
|---|---|
| Distinct (%) | 67.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.791923 |
| Minimum | 12.17 |
|---|---|
| Maximum | 124.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 12.17 |
|---|---|
| 5-th percentile | 25.32 |
| Q1 | 52.8725 |
| median | 77.5 |
| Q3 | 124.5 |
| 95-th percentile | 124.5 |
| Maximum | 124.5 |
| Range | 112.33 |
| Interquartile range (IQR) | 71.6275 |
Descriptive statistics
| Standard deviation | 34.582412 |
|---|---|
| Coefficient of variation (CV) | 0.42280962 |
| Kurtosis | -1.2487351 |
| Mean | 81.791923 |
| Median Absolute Deviation (MAD) | 31.25 |
| Skewness | -0.15607203 |
| Sum | 14886.13 |
| Variance | 1195.9432 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 124.5 | 48 | |
| 98.33 | 2 | 1.1% |
| 93.17 | 2 | 1.1% |
| 23.33 | 2 | 1.1% |
| 86 | 2 | 1.1% |
| 77.5 | 2 | 1.1% |
| 76.17 | 2 | 1.1% |
| 105.83 | 2 | 1.1% |
| 57 | 2 | 1.1% |
| 52.17 | 2 | 1.1% |
| Other values (112) | 116 |
| Value | Count | Frequency (%) |
| 12.17 | 1 | |
| 13 | 1 | |
| 13.83 | 1 | |
| 15.33 | 1 | |
| 20.33 | 1 | |
| 20.83 | 1 | |
| 22.83 | 1 | |
| 23.33 | 2 | |
| 25.17 | 1 | |
| 28.17 | 1 |
| Value | Count | Frequency (%) |
| 124.5 | 48 | |
| 121.5 | 1 | 0.5% |
| 117.33 | 1 | 0.5% |
| 117 | 1 | 0.5% |
| 114.33 | 1 | 0.5% |
| 110.5 | 1 | 0.5% |
| 110.33 | 1 | 0.5% |
| 109.33 | 1 | 0.5% |
| 109.17 | 1 | 0.5% |
| 106 | 1 | 0.5% |
fatalities_per_100k_rank
Real number (ℝ)
| Distinct | 114 |
|---|---|
| Distinct (%) | 62.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 78.60989 |
| Minimum | 1 |
|---|---|
| Maximum | 114 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 91.5 |
| Q3 | 114 |
| 95-th percentile | 114 |
| Maximum | 114 |
| Range | 113 |
| Interquartile range (IQR) | 67.75 |
Descriptive statistics
| Standard deviation | 37.858511 |
|---|---|
| Coefficient of variation (CV) | 0.48159985 |
| Kurtosis | -1.1042709 |
| Mean | 78.60989 |
| Median Absolute Deviation (MAD) | 22.5 |
| Skewness | -0.60499466 |
| Sum | 14307 |
| Variance | 1433.2669 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 114 | 69 | |
| 18 | 1 | 0.5% |
| 113 | 1 | 0.5% |
| 77 | 1 | 0.5% |
| 59 | 1 | 0.5% |
| 91 | 1 | 0.5% |
| 11 | 1 | 0.5% |
| 44 | 1 | 0.5% |
| 96 | 1 | 0.5% |
| 38 | 1 | 0.5% |
| Other values (104) | 104 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 114 | 69 | |
| 113 | 1 | 0.5% |
| 112 | 1 | 0.5% |
| 111 | 1 | 0.5% |
| 110 | 1 | 0.5% |
| 109 | 1 | 0.5% |
| 108 | 1 | 0.5% |
| 107 | 1 | 0.5% |
| 106 | 1 | 0.5% |
| 105 | 1 | 0.5% |
fatalities_per_100k_total
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 49 |
|---|---|
| Distinct (%) | 26.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.51967033 |
| Minimum | 0 |
|---|---|
| Maximum | 43.66 |
| Zeros | 70 |
| Zeros (%) | 38.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.02 |
| Q3 | 0.12 |
| 95-th percentile | 0.9845 |
| Maximum | 43.66 |
| Range | 43.66 |
| Interquartile range (IQR) | 0.12 |
Descriptive statistics
| Standard deviation | 3.3939343 |
|---|---|
| Coefficient of variation (CV) | 6.5309372 |
| Kurtosis | 146.49494 |
| Mean | 0.51967033 |
| Median Absolute Deviation (MAD) | 0.02 |
| Skewness | 11.664636 |
| Sum | 94.58 |
| Variance | 11.51879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 0 | 70 | |
| 0.02 | 13 | 7.1% |
| 0.01 | 9 | 4.9% |
| 0.03 | 7 | 3.8% |
| 0.11 | 6 | 3.3% |
| 0.04 | 6 | 3.3% |
| 0.08 | 5 | 2.7% |
| 0.06 | 5 | 2.7% |
| 0.05 | 4 | 2.2% |
| 0.1 | 4 | 2.2% |
| Other values (39) | 53 |
| Value | Count | Frequency (%) |
| 0 | 70 | |
| 0.01 | 9 | 4.9% |
| 0.02 | 13 | 7.1% |
| 0.03 | 7 | 3.8% |
| 0.04 | 6 | 3.3% |
| 0.05 | 4 | 2.2% |
| 0.06 | 5 | 2.7% |
| 0.07 | 3 | 1.6% |
| 0.08 | 5 | 2.7% |
| 0.09 | 3 | 1.6% |
| Value | Count | Frequency (%) |
| 43.66 | 1 | |
| 9.07 | 1 | |
| 8.74 | 1 | |
| 5.19 | 1 | |
| 4.09 | 1 | |
| 3.66 | 1 | |
| 1.77 | 1 | |
| 1.25 | 1 | |
| 1.14 | 1 | |
| 0.99 | 1 |
fatalities_rank
Real number (ℝ)
| Distinct | 64 |
|---|---|
| Distinct (%) | 35.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 77.626374 |
| Minimum | 1 |
|---|---|
| Maximum | 114 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 90 |
| Q3 | 114 |
| 95-th percentile | 114 |
| Maximum | 114 |
| Range | 113 |
| Interquartile range (IQR) | 67.75 |
Descriptive statistics
| Standard deviation | 37.500688 |
|---|---|
| Coefficient of variation (CV) | 0.48309211 |
| Kurtosis | -1.1070012 |
| Mean | 77.626374 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | -0.56860796 |
| Sum | 14128 |
| Variance | 1406.3016 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 114 | 69 | |
| 102 | 12 | 6.6% |
| 90 | 12 | 6.6% |
| 60 | 5 | 2.7% |
| 85 | 5 | 2.7% |
| 81 | 4 | 2.2% |
| 57 | 3 | 1.6% |
| 65 | 3 | 1.6% |
| 68 | 3 | 1.6% |
| 78 | 3 | 1.6% |
| Other values (54) | 63 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 114 | 69 | |
| 102 | 12 | 6.6% |
| 90 | 12 | 6.6% |
| 85 | 5 | 2.7% |
| 81 | 4 | 2.2% |
| 78 | 3 | 1.6% |
| 76 | 2 | 1.1% |
| 74 | 2 | 1.1% |
| 72 | 2 | 1.1% |
| 71 | 1 | 0.5% |
fatalities_total
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 64 |
|---|---|
| Distinct (%) | 35.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 86.840659 |
| Minimum | 0 |
|---|---|
| Maximum | 4317 |
| Zeros | 69 |
| Zeros (%) | 37.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 22.75 |
| 95-th percentile | 263.55 |
| Maximum | 4317 |
| Range | 4317 |
| Interquartile range (IQR) | 22.75 |
Descriptive statistics
| Standard deviation | 427.35062 |
|---|---|
| Coefficient of variation (CV) | 4.9210891 |
| Kurtosis | 72.005821 |
| Mean | 86.840659 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 8.1959733 |
| Sum | 15805 |
| Variance | 182628.55 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 69 | |
| 1 | 12 | 6.6% |
| 2 | 12 | 6.6% |
| 12 | 5 | 2.7% |
| 3 | 5 | 2.7% |
| 4 | 4 | 2.2% |
| 13 | 3 | 1.6% |
| 11 | 3 | 1.6% |
| 10 | 3 | 1.6% |
| 5 | 3 | 1.6% |
| Other values (54) | 63 |
| Value | Count | Frequency (%) |
| 0 | 69 | |
| 1 | 12 | 6.6% |
| 2 | 12 | 6.6% |
| 3 | 5 | 2.7% |
| 4 | 4 | 2.2% |
| 5 | 3 | 1.6% |
| 6 | 2 | 1.1% |
| 7 | 2 | 1.1% |
| 8 | 2 | 1.1% |
| 9 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 4317 | 1 | |
| 3336 | 1 | |
| 1663 | 1 | |
| 916 | 1 | |
| 410 | 1 | |
| 364 | 1 | |
| 351 | 1 | |
| 325 | 1 | |
| 288 | 1 | |
| 267 | 1 |
losses_per_gdp__rank
Real number (ℝ)
| Distinct | 135 |
|---|---|
| Distinct (%) | 74.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 85.302198 |
| Minimum | 1 |
|---|---|
| Maximum | 135 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 91.5 |
| Q3 | 135 |
| 95-th percentile | 135 |
| Maximum | 135 |
| Range | 134 |
| Interquartile range (IQR) | 88.75 |
Descriptive statistics
| Standard deviation | 44.6916 |
|---|---|
| Coefficient of variation (CV) | 0.52392085 |
| Kurtosis | -1.2931559 |
| Mean | 85.302198 |
| Median Absolute Deviation (MAD) | 43.5 |
| Skewness | -0.3487033 |
| Sum | 15525 |
| Variance | 1997.3391 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 135 | 48 | 26.4% |
| 131 | 1 | 0.5% |
| 58 | 1 | 0.5% |
| 103 | 1 | 0.5% |
| 55 | 1 | 0.5% |
| 88 | 1 | 0.5% |
| 79 | 1 | 0.5% |
| 27 | 1 | 0.5% |
| 119 | 1 | 0.5% |
| 60 | 1 | 0.5% |
| Other values (125) | 125 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 135 | 48 | |
| 134 | 1 | 0.5% |
| 133 | 1 | 0.5% |
| 132 | 1 | 0.5% |
| 131 | 1 | 0.5% |
| 130 | 1 | 0.5% |
| 129 | 1 | 0.5% |
| 128 | 1 | 0.5% |
| 127 | 1 | 0.5% |
| 126 | 1 | 0.5% |
losses_per_gdp__total
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 126 |
|---|---|
| Distinct (%) | 69.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.0923775 |
| Minimum | 0 |
|---|---|
| Maximum | 77.3694 |
| Zeros | 51 |
| Zeros (%) | 28.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.0261 |
| Q3 | 0.16605 |
| 95-th percentile | 0.904355 |
| Maximum | 77.3694 |
| Range | 77.3694 |
| Interquartile range (IQR) | 0.16605 |
Descriptive statistics
| Standard deviation | 6.9586782 |
|---|---|
| Coefficient of variation (CV) | 6.3702139 |
| Kurtosis | 88.039575 |
| Mean | 1.0923775 |
| Median Absolute Deviation (MAD) | 0.0261 |
| Skewness | 8.9642475 |
| Sum | 198.8127 |
| Variance | 48.423202 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 51 | |
| 0.0001 | 2 | 1.1% |
| 0.0006 | 2 | 1.1% |
| 0.0012 | 2 | 1.1% |
| 0.0088 | 2 | 1.1% |
| 0.008 | 2 | 1.1% |
| 0.0419 | 2 | 1.1% |
| 0.0974 | 1 | 0.5% |
| 0.0989 | 1 | 0.5% |
| 0.4262 | 1 | 0.5% |
| Other values (116) | 116 |
| Value | Count | Frequency (%) |
| 0 | 51 | |
| 0.0001 | 2 | 1.1% |
| 0.0002 | 1 | 0.5% |
| 0.0003 | 1 | 0.5% |
| 0.0004 | 1 | 0.5% |
| 0.0006 | 2 | 1.1% |
| 0.0011 | 1 | 0.5% |
| 0.0012 | 2 | 1.1% |
| 0.002 | 1 | 0.5% |
| 0.0021 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 77.3694 | 1 | |
| 40.6504 | 1 | |
| 33.3333 | 1 | |
| 12.5786 | 1 | |
| 6.25 | 1 | |
| 4.4507 | 1 | |
| 1.5444 | 1 | |
| 1.4993 | 1 | |
| 1.0945 | 1 | |
| 0.9044 | 1 |
losses_usdm_ppp_rank
Real number (ℝ)
| Distinct | 135 |
|---|---|
| Distinct (%) | 74.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 85.302198 |
| Minimum | 1 |
|---|---|
| Maximum | 135 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10.05 |
| Q1 | 46.25 |
| median | 91.5 |
| Q3 | 135 |
| 95-th percentile | 135 |
| Maximum | 135 |
| Range | 134 |
| Interquartile range (IQR) | 88.75 |
Descriptive statistics
| Standard deviation | 44.6916 |
|---|---|
| Coefficient of variation (CV) | 0.52392085 |
| Kurtosis | -1.2931559 |
| Mean | 85.302198 |
| Median Absolute Deviation (MAD) | 43.5 |
| Skewness | -0.3487033 |
| Sum | 15525 |
| Variance | 1997.3391 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 135 | 48 | 26.4% |
| 119 | 1 | 0.5% |
| 35 | 1 | 0.5% |
| 116 | 1 | 0.5% |
| 55 | 1 | 0.5% |
| 37 | 1 | 0.5% |
| 58 | 1 | 0.5% |
| 64 | 1 | 0.5% |
| 107 | 1 | 0.5% |
| 24 | 1 | 0.5% |
| Other values (125) | 125 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 135 | 48 | |
| 134 | 1 | 0.5% |
| 133 | 1 | 0.5% |
| 132 | 1 | 0.5% |
| 131 | 1 | 0.5% |
| 130 | 1 | 0.5% |
| 129 | 1 | 0.5% |
| 128 | 1 | 0.5% |
| 127 | 1 | 0.5% |
| 126 | 1 | 0.5% |
losses_usdm_ppp_total
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 135 |
|---|---|
| Distinct (%) | 74.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 907.5076 |
| Minimum | 0 |
|---|---|
| Maximum | 40077.222 |
| Zeros | 48 |
| Zeros (%) | 26.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 30.347 |
| Q3 | 262.17825 |
| 95-th percentile | 2836.6696 |
| Maximum | 40077.222 |
| Range | 40077.222 |
| Interquartile range (IQR) | 262.17825 |
Descriptive statistics
| Standard deviation | 4483.9985 |
|---|---|
| Coefficient of variation (CV) | 4.9410038 |
| Kurtosis | 58.981872 |
| Mean | 907.5076 |
| Median Absolute Deviation (MAD) | 30.347 |
| Skewness | 7.5841349 |
| Sum | 165166.38 |
| Variance | 20106243 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 48 | 26.4% |
| 1.229 | 1 | 0.5% |
| 385.632 | 1 | 0.5% |
| 2.649 | 1 | 0.5% |
| 201.805 | 1 | 0.5% |
| 333.205 | 1 | 0.5% |
| 161.838 | 1 | 0.5% |
| 112.043 | 1 | 0.5% |
| 7.322 | 1 | 0.5% |
| 907.122 | 1 | 0.5% |
| Other values (125) | 125 |
| Value | Count | Frequency (%) |
| 0 | 48 | |
| 0.025 | 1 | 0.5% |
| 0.027 | 1 | 0.5% |
| 0.087 | 1 | 0.5% |
| 0.114 | 1 | 0.5% |
| 0.13 | 1 | 0.5% |
| 0.136 | 1 | 0.5% |
| 0.166 | 1 | 0.5% |
| 0.253 | 1 | 0.5% |
| 0.276 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 40077.222 | 1 | |
| 36272.535 | 1 | |
| 27122.7 | 1 | |
| 4186.23 | 1 | |
| 4174.851 | 1 | |
| 3812.502 | 1 | |
| 3427.958 | 1 | |
| 2894.407 | 1 | |
| 2869.197 | 1 | |
| 2838.711 | 1 |
rw_country_code
Categorical
HIGH CARDINALITY MISSING UNIFORM
| Distinct | 179 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 3 |
| Missing (%) | 1.6% |
| Memory size | 1.5 KiB |
| SAU | 1 |
|---|---|
| RUS | 1 |
| PRT | 1 |
| PER | 1 |
| PAK | 1 |
| Other values (174) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 537 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 179 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | SAU |
|---|---|
| 2nd row | ROU |
| 3rd row | ESP |
| 4th row | SVN |
| 5th row | SSD |
Common Values
| Value | Count | Frequency (%) |
| SAU | 1 | 0.5% |
| RUS | 1 | 0.5% |
| PRT | 1 | 0.5% |
| PER | 1 | 0.5% |
| PAK | 1 | 0.5% |
| PAN | 1 | 0.5% |
| PRY | 1 | 0.5% |
| COG | 1 | 0.5% |
| YEM | 1 | 0.5% |
| SEN | 1 | 0.5% |
| Other values (169) | 169 | |
| (Missing) | 3 | 1.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sau | 1 | 0.6% |
| gha | 1 | 0.6% |
| swz | 1 | 0.6% |
| esp | 1 | 0.6% |
| svn | 1 | 0.6% |
| ssd | 1 | 0.6% |
| sle | 1 | 0.6% |
| zaf | 1 | 0.6% |
| srb | 1 | 0.6% |
| svk | 1 | 0.6% |
| Other values (169) | 169 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 42 | 7.8% |
| R | 41 | 7.6% |
| N | 38 | 7.1% |
| M | 33 | 6.1% |
| L | 31 | 5.8% |
| B | 30 | 5.6% |
| S | 30 | 5.6% |
| T | 28 | 5.2% |
| G | 27 | 5.0% |
| E | 25 | 4.7% |
| Other values (16) | 212 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 537 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 42 | 7.8% |
| R | 41 | 7.6% |
| N | 38 | 7.1% |
| M | 33 | 6.1% |
| L | 31 | 5.8% |
| B | 30 | 5.6% |
| S | 30 | 5.6% |
| T | 28 | 5.2% |
| G | 27 | 5.0% |
| E | 25 | 4.7% |
| Other values (16) | 212 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 537 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 42 | 7.8% |
| R | 41 | 7.6% |
| N | 38 | 7.1% |
| M | 33 | 6.1% |
| L | 31 | 5.8% |
| B | 30 | 5.6% |
| S | 30 | 5.6% |
| T | 28 | 5.2% |
| G | 27 | 5.0% |
| E | 25 | 4.7% |
| Other values (16) | 212 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 537 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 42 | 7.8% |
| R | 41 | 7.6% |
| N | 38 | 7.1% |
| M | 33 | 6.1% |
| L | 31 | 5.8% |
| B | 30 | 5.6% |
| S | 30 | 5.6% |
| T | 28 | 5.2% |
| G | 27 | 5.0% |
| E | 25 | 4.7% |
| Other values (16) | 212 |
rw_country_name
Categorical
HIGH CARDINALITY MISSING UNIFORM
| Distinct | 179 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 3 |
| Missing (%) | 1.6% |
| Memory size | 1.5 KiB |
| Saudi Arabia | 1 |
|---|---|
| Russia | 1 |
| Portugal | 1 |
| Peru | 1 |
| Pakistan | 1 |
| Other values (174) |
Length
| Max length | 32 |
|---|---|
| Median length | 24 |
| Mean length | 8.8379888 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1582 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 179 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Saudi Arabia |
|---|---|
| 2nd row | Romania |
| 3rd row | Spain |
| 4th row | Slovenia |
| 5th row | South Sudan |
Common Values
| Value | Count | Frequency (%) |
| Saudi Arabia | 1 | 0.5% |
| Russia | 1 | 0.5% |
| Portugal | 1 | 0.5% |
| Peru | 1 | 0.5% |
| Pakistan | 1 | 0.5% |
| Panama | 1 | 0.5% |
| Paraguay | 1 | 0.5% |
| Republic of Congo | 1 | 0.5% |
| Yemen | 1 | 0.5% |
| Senegal | 1 | 0.5% |
| Other values (169) | 169 | |
| (Missing) | 3 | 1.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| republic | 7 | 3.0% |
| of | 6 | 2.6% |
| and | 5 | 2.1% |
| united | 4 | 1.7% |
| saint | 3 | 1.3% |
| south | 3 | 1.3% |
| guinea | 3 | 1.3% |
| the | 3 | 1.3% |
| sudan | 2 | 0.9% |
| congo | 2 | 0.9% |
| Other values (194) | 197 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 238 | |
| i | 138 | 8.7% |
| n | 121 | 7.6% |
| e | 112 | 7.1% |
| o | 83 | 5.2% |
| r | 83 | 5.2% |
| t | 62 | 3.9% |
| u | 61 | 3.9% |
| 56 | 3.5% | |
| l | 56 | 3.5% |
| Other values (42) | 572 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1302 | |
| Uppercase Letter | 223 | 14.1% |
| Space Separator | 56 | 3.5% |
| Dash Punctuation | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 238 | |
| i | 138 | |
| n | 121 | |
| e | 112 | 8.6% |
| o | 83 | 6.4% |
| r | 83 | 6.4% |
| t | 62 | 4.8% |
| u | 61 | 4.7% |
| l | 56 | 4.3% |
| d | 50 | 3.8% |
| Other values (16) | 298 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 27 | 12.1% |
| B | 19 | 8.5% |
| C | 17 | 7.6% |
| M | 17 | 7.6% |
| A | 15 | 6.7% |
| G | 13 | 5.8% |
| T | 12 | 5.4% |
| L | 12 | 5.4% |
| I | 11 | 4.9% |
| R | 11 | 4.9% |
| Other values (14) | 69 |
Space Separator
| Value | Count | Frequency (%) |
| 56 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1525 | |
| Common | 57 | 3.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 238 | |
| i | 138 | 9.0% |
| n | 121 | 7.9% |
| e | 112 | 7.3% |
| o | 83 | 5.4% |
| r | 83 | 5.4% |
| t | 62 | 4.1% |
| u | 61 | 4.0% |
| l | 56 | 3.7% |
| d | 50 | 3.3% |
| Other values (40) | 521 |
Common
| Value | Count | Frequency (%) |
| 56 | ||
| - | 1 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1582 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 238 | |
| i | 138 | 8.7% |
| n | 121 | 7.6% |
| e | 112 | 7.1% |
| o | 83 | 5.2% |
| r | 83 | 5.2% |
| t | 62 | 3.9% |
| u | 61 | 3.9% |
| 56 | 3.5% | |
| l | 56 | 3.5% |
| Other values (42) | 572 |
| cartodb_id | cri_rank | cri_score | fatalities_per_100k_rank | fatalities_per_100k_total | fatalities_rank | fatalities_total | losses_per_gdp__rank | losses_per_gdp__total | losses_usdm_ppp_rank | losses_usdm_ppp_total | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| cartodb_id | 1.000 | 0.102 | 0.102 | 0.067 | -0.072 | 0.150 | -0.150 | 0.083 | -0.078 | 0.192 | -0.192 |
| cri_rank | 0.102 | 1.000 | 1.000 | 0.853 | -0.854 | 0.828 | -0.828 | 0.894 | -0.891 | 0.864 | -0.864 |
| cri_score | 0.102 | 1.000 | 1.000 | 0.853 | -0.854 | 0.828 | -0.828 | 0.894 | -0.891 | 0.864 | -0.864 |
| fatalities_per_100k_rank | 0.067 | 0.853 | 0.853 | 1.000 | -0.998 | 0.906 | -0.906 | 0.591 | -0.586 | 0.568 | -0.568 |
| fatalities_per_100k_total | -0.072 | -0.854 | -0.854 | -0.998 | 1.000 | -0.906 | 0.906 | -0.592 | 0.588 | -0.570 | 0.570 |
| fatalities_rank | 0.150 | 0.828 | 0.828 | 0.906 | -0.906 | 1.000 | -1.000 | 0.531 | -0.524 | 0.673 | -0.673 |
| fatalities_total | -0.150 | -0.828 | -0.828 | -0.906 | 0.906 | -1.000 | 1.000 | -0.531 | 0.524 | -0.673 | 0.673 |
| losses_per_gdp__rank | 0.083 | 0.894 | 0.894 | 0.591 | -0.592 | 0.531 | -0.531 | 1.000 | -0.998 | 0.851 | -0.851 |
| losses_per_gdp__total | -0.078 | -0.891 | -0.891 | -0.586 | 0.588 | -0.524 | 0.524 | -0.998 | 1.000 | -0.848 | 0.848 |
| losses_usdm_ppp_rank | 0.192 | 0.864 | 0.864 | 0.568 | -0.570 | 0.673 | -0.673 | 0.851 | -0.848 | 1.000 | -1.000 |
| losses_usdm_ppp_total | -0.192 | -0.864 | -0.864 | -0.568 | 0.570 | -0.673 | 0.673 | -0.851 | 0.848 | -1.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| cartodb_id | country | cri_rank | cri_score | fatalities_per_100k_rank | fatalities_per_100k_total | fatalities_rank | fatalities_total | losses_per_gdp__rank | losses_per_gdp__total | losses_usdm_ppp_rank | losses_usdm_ppp_total | rw_country_code | rw_country_name | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Saudi Arabia | 79 | 72.50 | 18 | 0.45 | 18 | 140 | 131 | 0.0001 | 119 | 1.229 | SAU | Saudi Arabia |
| 1 | 2 | Romania | 61 | 61.50 | 112 | 0.01 | 102 | 1 | 16 | 0.6746 | 11 | 2797.884 | ROU | Romania |
| 2 | 3 | Spain | 69 | 66.33 | 74 | 0.05 | 47 | 22 | 86 | 0.0394 | 31 | 637.070 | ESP | Spain |
| 3 | 4 | Slovenia | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | SVN | Slovenia |
| 4 | 5 | South Sudan | 133 | 117.33 | 114 | 0.00 | 114 | 0 | 120 | 0.0021 | 122 | 0.508 | SSD | South Sudan |
| 5 | 6 | Sierra Leone | 102 | 88.50 | 42 | 0.16 | 68 | 10 | 124 | 0.0011 | 131 | 0.114 | SLE | Sierra Leone |
| 6 | 7 | South Africa | 33 | 45.67 | 84 | 0.03 | 51 | 19 | 24 | 0.4722 | 7 | 3427.958 | ZAF | South Africa |
| 7 | 8 | Serbia | 83 | 75.50 | 114 | 0.00 | 114 | 0 | 33 | 0.2794 | 45 | 272.927 | SRB | Republic of Serbia |
| 8 | 9 | Slovak Republic | 123 | 105.33 | 97 | 0.02 | 102 | 1 | 115 | 0.0046 | 106 | 7.468 | SVK | Slovakia |
| 9 | 10 | Solomon Islands | 89 | 76.83 | 39 | 0.17 | 102 | 1 | 80 | 0.0445 | 121 | 0.511 | SLB | Solomon Islands |
| cartodb_id | country | cri_rank | cri_score | fatalities_per_100k_rank | fatalities_per_100k_total | fatalities_rank | fatalities_total | losses_per_gdp__rank | losses_per_gdp__total | losses_usdm_ppp_rank | losses_usdm_ppp_total | rw_country_code | rw_country_name | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 172 | 173 | Montenegro | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | MNE | Montenegro |
| 173 | 174 | Rwanda | 110 | 97.00 | 60 | 0.09 | 68 | 10 | 130 | 0.0001 | 134 | 0.025 | RWA | Rwanda |
| 174 | 175 | Qatar | 129 | 110.33 | 114 | 0.00 | 114 | 0 | 113 | 0.0060 | 94 | 19.273 | QAT | Qatar |
| 175 | 176 | Puerto Rico | 110 | 97.00 | 114 | 0.00 | 114 | 0 | 81 | 0.0437 | 78 | 57.565 | NaN | NaN |
| 176 | 177 | Samoa | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | WSM | Samoa |
| 177 | 178 | Seychelles | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | SYC | Seychelles |
| 178 | 179 | Gambia | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | GMB | Gambia |
| 179 | 180 | Togo | 131 | 114.33 | 104 | 0.01 | 102 | 1 | 123 | 0.0012 | 130 | 0.130 | TGO | Togo |
| 180 | 181 | Trinidad and Tobago | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | TTO | Trinidad and Tobago |
| 181 | 182 | Tonga | 135 | 124.50 | 114 | 0.00 | 114 | 0 | 135 | 0.0000 | 135 | 0.000 | TON | Tonga |